Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement | Paper Citation Record

Observation 1b7392b9-0b81-47a4-8636-c4ae6816ac54 · outbound

This paper cites Learning warm-start points for ac optimal power flow.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Learning warm-start points for ac optimal power flow

Reference 1

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This paper cites Bellman, Rand Corporation, and Karreman Mathematics Research Collection.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Bellman, Rand Corporation, and Karreman Mathematics Research Collection

Reference 2

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This paper cites Anjos, and Sébastien Le Digabel.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Anjos, and Sébastien Le Digabel

Reference 3

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This paper cites Diffusion policies for generative modeling of spacecraft trajectories.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Diffusion policies for generative modeling of spacecraft trajectories

Reference 4

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This paper cites Predict and constrain: Modeling cardinality in deep structured prediction.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Predict and constrain: Modeling cardinality in deep structured prediction

Reference 5

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This paper cites History of optimal power flow and formulations.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement History of optimal power flow and formulations

Reference 6

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This paper cites Neural networks for portfolio analysis with cardinality constraints.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Neural networks for portfolio analysis with cardinality constraints

Reference 7

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Observation 2fe92e2b-49e4-4c57-8f3d-4a0f919dc109 · outbound

This paper cites High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow

Reference 8

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Observation 99efcea3-13b3-48e3-ba2b-497cfb1e122d · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 9

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This paper cites Constrained synthesis with projected diffusion models.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Constrained synthesis with projected diffusion models

Reference 10

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Observation c95fcdff-803a-4725-b4d5-faf46fa1b1d3 · outbound

This paper cites Cover and Bradley Efron.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Cover and Bradley Efron

Reference 11

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This paper cites Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 12

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Observation 82f04e73-7bdf-4ed2-85da-dedd72357d68 · outbound

This paper cites Reduced policy optimization for continuous control with hard constraints.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Reduced policy optimization for continuous control with hard constraints

Reference 13

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Observation b3fe1384-cb41-417a-bb87-7e705674f260 · outbound

This paper cites Smart-pgsim: Using neural network to accelerate ac-opf power grid simulation.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Smart-pgsim: Using neural network to accelerate ac-opf power grid simulation

Reference 14

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This paper cites DC3: A learning method for optimization with hard constraints.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement DC3: A learning method for optimization with hard constraints

Reference 15

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Observation fc659565-70c3-4e86-88a4-b86bfb4ec8e0 · outbound

This paper cites Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization

Reference 16

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Observation 6b5caf45-29ff-48da-8510-7bd3526e61e5 · outbound

This paper cites Lenssen, Christopher Morris, Jonathan Masci, and Nils M.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Lenssen, Christopher Morris, Jonathan Masci, and Nils M

Reference 17

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Observation e9f417e2-13d6-4afe-8050-661d1f9b73f7 · outbound

This paper cites Predicting ac optimal power flows: Combining deep learning and lagrangian dual methods.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Predicting ac optimal power flows: Combining deep learning and lagrangian dual methods

Reference 18

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Observation 797baaaf-a44b-4434-b75c-7e003e30665f · outbound

This paper cites Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation

Reference 19

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Observation 04c809e6-22c4-47c8-88ad-b74a9866d833 · outbound

This paper cites Denoising diffusion probabilistic models.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Denoising diffusion probabilistic models

Reference 20

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Observation c1bb70f9-a676-460c-b359-ab6d7aa5a5cf · outbound

This paper cites Advancements and future directions in the application of machine learning to ac optimal power flow: A critical review.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Advancements and future directions in the application of machine learning to ac optimal power flow: A critical review

Reference 21

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This paper cites Erdos goes neural: an unsupervised learning framework for combinatorial optimization on graphs.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Erdos goes neural: an unsupervised learning framework for combinatorial optimization on graphs

Reference 22

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This paper cites CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning

Reference 23

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This paper cites Equality constrained diffusion for direct trajectory optimiza- tion.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Equality constrained diffusion for direct trajectory optimiza- tion

Reference 24

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This paper cites Efficient and guaranteed-safe non-convex trajectory optimization with constrained diffusion model.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Efficient and guaranteed-safe non-convex trajectory optimization with constrained diffusion model

Reference 25

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Observation 8e1ee214-9a52-46a0-aec3-feab3bccb2c0 · outbound

This paper cites Amortized global search for efficient preliminary trajectory design with deep generative models.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Amortized global search for efficient preliminary trajectory design with deep generative models

Reference 26

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Observation 971a7549-bbe3-4285-9e5f-f65ec0175a71 · outbound

This paper cites Learning to Optimize.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Learning to Optimize

Reference 27

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This paper cites Gauge flow matching for efficient constrained generative modeling over general convex set.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Gauge flow matching for efficient constrained generative modeling over general convex set

Reference 28

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This paper cites From distribution learning in training to gradient search in testing for combinatorial optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement From distribution learning in training to gradient search in testing for combinatorial optimization

Reference 29

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This paper cites Fast t2t: Optimization consistency speeds up diffusion-based training-to-testing solving for combinatorial optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Fast t2t: Optimization consistency speeds up diffusion-based training-to-testing solving for combinatorial optimization

Reference 30

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This paper cites Generative learning for solving non-convex problem with multi-valued input-solution mapping.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Generative learning for solving non-convex problem with multi-valued input-solution mapping

Reference 31

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This paper cites Learning to search in local branching.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Learning to search in local branching

Reference 32

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This paper cites Numerical optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Numerical optimization

Reference 33

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This paper cites Model-Based Diffusion for Trajectory Optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Model-Based Diffusion for Trajectory Optimization

Reference 34

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This paper cites Deepopf: A deep neural network approach for security-constrained dc optimal power flow.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Deepopf: A deep neural network approach for security-constrained dc optimal power flow

Reference 35

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This paper cites Self-supervised primal-dual learning for constrained optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Self-supervised primal-dual learning for constrained optimization

Reference 36

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This paper cites Can push-forward generative models fit multimodal distributions? Advances in Neural Information Processing Systems, 35:10766–10779, 2022.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Can push-forward generative models fit multimodal distributions? Advances in Neural Information Processing Systems, 35:10766–10779, 2022

Reference 37

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This paper cites Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics

Reference 38

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This paper cites A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization

Reference 39

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This paper cites Global optimization for optimal power flow over transmission networks.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Global optimization for optimal power flow over transmission networks

Reference 40

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This paper cites Denoising Diffusion Implicit Models.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Denoising Diffusion Implicit Models

Reference 41

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This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Score-Based Generative Modeling through Stochastic Differential Equations

Reference 42

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This paper cites Reinforcement learning for integer program- ming: Learning to cut.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Reinforcement learning for integer program- ming: Learning to cut

Reference 43

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This paper cites On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

Reference 44

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This paper cites Towards one-shot neural combinatorial solvers: Theoretical and empirical notes on the cardinality-constrained case.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Towards one-shot neural combinatorial solvers: Theoretical and empirical notes on the cardinality-constrained case

Reference 45

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This paper cites Learning combinatorial embedding networks for deep graph matching.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Learning combinatorial embedding networks for deep graph matching

Reference 46

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Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Unresolved cited work

Reference 47

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This paper cites Zamzam and Kyri Baker.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Zamzam and Kyri Baker

Reference 48

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This paper cites Learning to solve the ac optimal power flow via a lagrangian approach.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Learning to solve the ac optimal power flow via a lagrangian approach

Reference 49

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This paper cites Diffusion Models are Evolutionary Algorithms.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Diffusion Models are Evolutionary Algorithms

Reference 50

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This paper cites Synergizing machine learning with acopf: A comprehensive overview, 2024.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Synergizing machine learning with acopf: A comprehensive overview, 2024

Reference 51

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This paper cites Diffusion.

Diffusion-based learning framework for Constrained Nonconvex Optimization with Weighted Bootstrapped Refinement Diffusion

Reference 52

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